Knowledge Integration Methods for Probabilistic Knowledge-based Systems
Knowledge-based systems and solving knowledge integrating problems have seen a great surge of research activity in recent years. Knowledge Integration Methods for Probabilistic Knowledge-Based Systems provides a wide snapshot of building knowledge-based systems, inconsistency measures, methods for h...
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| description | Knowledge-based systems and solving knowledge integrating problems have seen a great surge of research activity in recent years. Knowledge Integration Methods for Probabilistic Knowledge-Based Systems provides a wide snapshot of building knowledge-based systems, inconsistency measures, methods for handling consistency, and methods for integrating knowledge bases. The book also provides the mathematical background to solving problems of restoring consistency and integrating probabilistic knowledge bases in the integrating process. The research results presented in the book can be applied in decision support systems, semantic web systems, multimedia information retrieval systems, medical imaging systems, cooperative information systems, and more. This text will be useful for computer science graduates and PhD students, in addition to researchers and readers working on knowledge management and ontology interpretation. |
| doi_str_mv | 10.1201/9781003277019 |
| format | Book |
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| subjects | Asymmetrische Information Betriebliches Informationssystem Computer Science (General) COMPUTERSCIENCEnetBASE Expert systems (Computer science) General management Inconsistency measures Information Information & Communication Technology (ICT) INFORMATIONSCIENCEnetBASE Knowledge and integration methods Knowledge Management Knowledge-based systems Probabilistic databases Probabilistic knowledge Production, Operations & Information Management SCI-TECHnetBASE STMnetBASE Wissensmanagement Wissensrepräsentation Wissenstransfer |
| title | Knowledge Integration Methods for Probabilistic Knowledge-based Systems |
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